At a Glance
- Tasks: Transform complex data into clear insights to support teams and franchise partners.
- Company: Join Domino’s, a leader in the food delivery industry with a focus on data-driven decisions.
- Benefits: Hybrid work model, skill development opportunities, and a collaborative team environment.
- Other info: Exciting chance to work with a dynamic team and enhance your analytical skills.
- Why this job: Shape reporting processes and drive smarter business decisions in a growing area.
- Qualifications: 3+ years in data analytics, strong SQL and Excel skills, relevant degree required.
The predicted salary is between 35000 - 45000 £ per year.
About The Role
Aggregator Data Analyst Milton Keynes or Manchester | Hybrid (2 days in office)
At Domino’s, data helps us make better decisions every day. As an Aggregator Data Analyst, you’ll turn complex data from platforms like Uber Eats and Just Eat into clear, useful insights that support our teams and franchise partners. This is a great opportunity to shape how we report and understand aggregator performance, helping drive smarter decisions across the business.
What You’ll Bring
- Experience in a data or analytics role (typically 3+ years)
- Strong skills in SQL, Excel and Power BI (or similar tools)
- A degree in a relevant field (e.g. Data, Business, Maths)
- Confidence working with large datasets and multiple data sources
- Ability to explain data clearly to non-technical audiences
Bonus Skills
- Experience in retail, QSR, or commercial/trading environments
- Knowledge of Python or R
- Experience improving reporting or building dashboards
What You’ll Be Doing
- Producing weekly and monthly reports on sales, demand, discounting and performance
- Building and improving aggregator reporting packs for internal teams and franchisees
- Tracking promotion and campaign performance across aggregator platforms
- Analysing trends, identifying risks and explaining performance clearly
- Working with Data Engineering to improve reporting, automation and data quality
- Supporting teams with insights that guide day‑to‑day trading decisions
How We’ll Support You
- The chance to shape and improve reporting in a growing area of the business
- A collaborative team of analysts and data specialists
- Opportunities to develop your skills and take on more responsibility as the function grows
- A hybrid working approach that balances flexibility and team connection
Aggregator Data Analyst in Milton Keynes employer: Domino's Pizza (UK & Ireland) Plc
At Domino's, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. As an Aggregator Data Analyst in Milton Keynes or Manchester, you'll enjoy the benefits of hybrid working, opportunities for professional growth, and the chance to make a significant impact on our data-driven decision-making processes. Join us to be part of a dynamic team where your insights will shape the future of our business.
Contact Details:
Domino's Pizza (UK & Ireland) Plc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Aggregator Data Analyst in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Domino’s on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL, Excel, and Power BI skills. We want to show off our analytical prowess, so practice explaining complex data insights in simple terms!
✨Tip Number 3
Don’t forget to showcase any experience with dashboards or reporting tools. If we’ve improved reporting in past roles, let’s highlight that! It shows we’re proactive and results-driven.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to match what Domino’s is looking for in an Aggregator Data Analyst.
We think you need these skills to ace Aggregator Data Analyst in Milton Keynes
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your experience with SQL, Excel, and Power BI in your application. We want to see how you've used these tools to turn data into insights, so don’t hold back on sharing specific examples!
Keep It Clear and Concise:When explaining your past experiences, remember that clarity is key. We love candidates who can break down complex data for non-technical audiences, so use simple language and avoid jargon where possible.
Tailor Your Application:Take a moment to customise your application for the Aggregator Data Analyst role. Mention how your skills align with our needs, especially around reporting and performance analysis. This shows us you’re genuinely interested!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Domino's Pizza (UK & Ireland) Plc
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past roles, especially when working with large datasets. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Prepare for Scenario Questions
Expect questions that ask you to explain how you would handle specific data challenges or scenarios. Think about times you've had to analyse trends or report on performance. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Communicate Clearly
Since you'll need to explain complex data to non-technical audiences, practice simplifying your explanations. Use examples from your previous experience where you successfully communicated insights to different stakeholders. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Show Your Passion for Improvement
Be prepared to discuss any initiatives you've taken to improve reporting or build dashboards in your previous roles. Highlighting your proactive approach to enhancing processes will resonate well with the interviewers, especially since this role involves shaping aggregator reporting.
